8970 search results - page 403 / 1794 » Learning to Learn Causal Models |
164
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CORR
2010
Springer
15 years 5 months ago
2010
Springer
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
192
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PTS
2010
15 years 5 months ago
2010
We present an application of learning-based testing to the problem of automated test case generation (ATCG) for numerical software. Our approach uses n-dimensional polynomial model...
198
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ICMCS
2009
IEEE
15 years 4 months ago
2009
IEEE
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
188
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COLING
2010
15 years 1 months ago
2010
Hierarchical phrase-based models provide a powerful mechanism to capture non-local phrase reorderings for statistical machine translation (SMT). However, many phrase reorderings a...
159
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JMLR
2010
15 years 1 months ago
2010
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...